N U I T, Research Support Our remit is to support researchers and includes support in: Statistical Computing Numerical Analysis (Condor, HPC, cloud computing, etc.) Internet Tools (website development, collaboration through the net with other researchers within and outside NU(Sakai), Wikis, blogs, mobile applications Training in the above

Statistical Computing Support / Advice Staff Postgraduate Students (Master and PhD) Website: http://www.ncl.ac.uk/itservice/dataanalysis/ If you need help get in touch: Email: simon.kometa@ncl.ac.uk also copy to it.servicedesk@ncl.ac.uk Based in Claremont Tower

Stats News Mailing List To subscribe go to: https://lists.ncl.ac.uk/wws/info/statsnews Community of Users

Research Data Management (RDM) What do you understand by research data? Why do you think managing your research data is important? RDM is becoming very important and includes: Creating, Processing, Analysing, Preserving, Giving Access, and Re-using your research data http://datalib.edina.ac.uk/mantra/ RDM at NCL http://www.ncl.ac.uk/res/research/gov-ethics/rdm/

Other Statistic Software Training Dr Collin Gillespie: http://www.ncl.ac.uk/maths/rcourse/ Mr David McGeeney: Practical Statistic

Text Analytics Anyone currently involved with text analysis? Software? Open ended questions Social media document

Introduction: Why use SPSS, Minitab, SAS or Excel? There are many statistic software e.g. STATA, PRISM, STATISTICA, CLUSTAN, GENSTAT, Mathematica, GLIM, SPLUS, JMP, R, etc Some Definitions Availability of Basics Statistics Original Intent of the Software Ease of Use Industrial Vs Academic Usage Frequency of New Releases Operating Platform (Systems) Graphics Output Advanced Statistics Availability of help Interpreting Output Availability of Technical Support Online Getting Started Tutorial / Online forum Onscreen Statistics Wizard Design of Experiment Prospective and Retrospective Power Analysis Interchanging Files with Other Software Getting Output (results of analysis) into Other Software Programming Language Automatic Updating of Output after adding more Data Pivot Tables availability and Interactivity Text Analytics ANOVA, Regression and Time Series Analysis Popularity and Peer Pressure Questions

Some Definitions SPSS: Statistical Package for the Social Sciences (IBM SPSS Statistics these days) SAS: Statistical Application Systems (Just SAS these days) Minitab Excel SPSS, SAS, and Minitab are statistical packages while Excel is a spreadsheet

SPSS Descriptive (Summary) Statistics Options Minitab Excel SAS EG

Advanced Statistics: Model Building SPSS Minitab SAS Excel Fertility: Average number of kids. Infant mortality: deaths per 1000 live births

SPSS SAS Minitab Excel Bar Charts

How Easy to Use? SPSS and Minitab are relatively easy to use SAS a bit more difficult to use but made easier via Enterprise Guide (EG) Excel very easy to use! In general most software are easy to use if you learn how to use them! Getting Started Guides are available for SPSS, Minitab, Excel and SAS.

Online Tutorial / Online Forum Demonstrate the Getting Started Tutorials for all four packages via RAS or Common Desktop and ask for the views of audience Which is the best? Online Tutorial available in Help menu Does the software has an active online forum? sasprofessionals.net; Assess (SPSS);

Help to Interpret Output SPSS provide assistant to help you interpret some of the output via Case Studies Minitab provide assistant too via StatGuide SAS by examples (similar to Case Studies) Excel Demonstrate with example

Technical Support SPSS Good, but only via representative Minitab Good, deals directly with anybody SAS very Good, deals directly with anybody Excel Good, deals directly with anybody User Groups if available can be very useful

Statistics Wizard SPSS has a statistics wizard that ask you some questions and then suggest what statistical test you can do (demonstrate). But it is best to be very clear about what you want! SAS (via EG) Minitab and Excel don’t

Design of Experiment Very Important aspect of Statistics: helps you to set optimum conditions for your experiment. For example what temperature, catalyst and pressure are needed for maximum yield of a chemical reaction. Not available in SPSS Available in Minitab Available in SAS Not available in Excel

Prospective and Retrospective Power Analysis Power Analysis helps you to make a decision on sample size / power Only retrospective in SPSS Both in SAS Both in Minitab Not available in Excel except maybe through an add-in module

Reading Data Files from other software SPSS is okay Minitab Good SAS Good Excel Very Good (most statistical software can read (open) an Excel file The best way to store data is as flat file using Notepad (text).

Getting Output (tables and graphs) into other software They are all good in this, particularly getting output into a Word document or PowerPoint presentation via Copy and Paste. SPSS output file can be exported as html, pdf, rtf, doc SAS output can be listing (local to SAS) or html (or pdf and rtf via EG) Minitab output can be txt, html, pdf, rtf Excel output can also be copied and paste in a variety of formats

Programming Language SPSS, Minitab and SAS all have very powerful programming language. As you point-and-click a programme is being built behind the scene. Demonstrate Excel also have a programming language e.g. Visual Basics (Anyone here used it before?)

Automatic Updating of Graphs and Tables after adding more data SPSS does not have this function, you simple have to reproduced the output again! Syntax. With Minitab, you can update the graph and table SAS does not have this function Excel has this function

New Releases IBM SPSS Statistics produces new version too often, almost every year! Currently version 23 on campus, but 24 is out! Minitab Ltd produces new releases just at the right pace, currently on version 17 on campus SAS Institute Inc. produces new releases about every couple of years, latest version is 9.4. 9.1/9.2/9.3 for SAS Base and 7 for SAS EG Microsoft produces new releases about every couple of years, currently on Windows 10.

Usage In Industry Vs Academia SPSS and Minitab heavily used in Academia, used in Industry but not a lot SAS not heavily used in Academia, heavily used in Industry (most clinical trials use SAS) Excel heavily used in both Academia and Industry

Operating Systems SPSS runs on Windows, Macintosh, and Unix Minitab runs mainly on Windows and Macintosh (10Xtra last version on Mac) SAS runs on Windows, Macintosh, Unix, Linux Excel runs mainly on Windows and Macintosh

Pivot Tables Very good for displaying information online. Can be very interactive Minitab: static, not interactive Excel: interactive SPSS: interactive SAS: interactive Demonstrate if possible!

Text Analytics SPSS SAS Minitab Excel SPSS Modeler (different from IBM SPSS Statistics) SAS SAS Enterprise Miner (different SAS Base and Enterprise Guide) Minitab ?? Excel With extension

Statistical Modelling “A statistical model is a class of mathematical model, which embodies a set of assumptions concerning the generation of some sample data, and similar data from a larger population. A statistical model represents, often in considerably idealized form, the data-generating process” There are three purposes for a statistical model: Predictions Extraction of information Description of stochastic structures Some common models: Regression Model Simple Linear Regression Multiple Linear Regression Logistics Regression (Binary and Multinomial) Ordinal Nonlinear SAS, SPSS and Minitab are good for statistical modelling

Latin Squares Analysis ANOVA Product (Software) One-Way Two-Way MANOVA GLM Post-hoc Tests Latin Squares Analysis Minitab Yes R   SAS   Yes SPSS Excel Add on

Minitab Yes No SAS Yes Yes Excel SPSS Regression Product (Software) OLS WLS 2SLS NLLS Logistic GLM LAD Stepwise Minitab Yes No R SAS   Yes   Yes Excel SPSS Ordinary Least Square (OLS); Weighted Least Square (WLS); Two Stage Least Square 2SLS; Non-Linear Least Square NLLS); General Linear Model (GLM); Least Absolute Deviation regression (LAD)

Minitab Yes No SAS Yes Excel SPSS Time Series Analysis Product ARIMA GARCH Unit root test Cointegration test VAR Multivariate GARCH Minitab Yes No   R SAS   Yes Excel SPSS

Compare Groups for Significant Differences

Now Some Demonstrations Most of these packages can open more than one file in a session SPSS Minitab SAS Excel

Big Data Analytics IBM SPSS Modeler SAS Enterprise Miner R

Text Mining Tools Text Mining Tools Palette Project Panel Diagram Workspace showing Connected Nodes Help Panel Properties Panel

END You will use many different software depending on your needs!!!! Questions

Summary DOE: Minitab or SAS Power / Sample size calculation: Minitab or SAS Best way to store your data: Notepad Automatic Update of Output: Minitab or Excel SAS very popular in industry Pivot table: SAS, SPSS or Excel Modelling: SAS, SPSS or Minitab Summary statistics: SAS, SPSS or Minitab